---
title: Agent Input as Dictionary
---

This example demonstrates how to provide input to an agent as a dictionary format, specifically for multimodal inputs like text and images.

## Code

```python input_as_dict.py
from agno.agent import Agent
from agno.models.openai import OpenAIChat

Agent(model=OpenAIChat(id="gpt-5-mini")).print_response(
    {
        "role": "user",
        "content": [
            {"type": "text", "text": "What's in this image?"},
            {
                "type": "image_url",
                "image_url": {
                    "url": "https://upload.wikimedia.org/wikipedia/commons/thumb/d/dd/Gfp-wisconsin-madison-the-nature-boardwalk.jpg/2560px-Gfp-wisconsin-madison-the-nature-boardwalk.jpg",
                },
            },
        ],
    },
    stream=True,
    markdown=True,
)
```

## Usage

<Steps>
  <Snippet file="create-venv-step.mdx" />

  <Step title="Install libraries">
    ```bash
    pip install -U agno openai
    ```
  </Step>

  <Step title="Export your OpenAI API key">

    <CodeGroup>

    ```bash Mac/Linux
      export OPENAI_API_KEY="your_openai_api_key_here"
    ```

    ```bash Windows
      $Env:OPENAI_API_KEY="your_openai_api_key_here"
    ```
    </CodeGroup> 
  </Step>

  <Step title="Create a Python file">
    Create a Python file and add the above code.
    ```bash
    touch input_as_dict.py
    ```
  </Step>

  <Step title="Run Agent">
    <CodeGroup>
    ```bash Mac
    python input_as_dict.py
    ```
    
    ```bash Windows
    python input_as_dict.py
    ```
    </CodeGroup>
  </Step>

  <Step title="Find All Cookbooks">
  Explore all the available cookbooks in the Agno repository. Click the link below to view the code on GitHub:

  <Link href="https://github.com/agno-agi/agno/tree/main/cookbook/agents/input_and_output" target="_blank">
    Agno Cookbooks on GitHub
  </Link>
</Step>
</Steps>